| 基于改进蚁群算法的渡槽结构优化设计 |
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| 引用本文： | 周娟,蒋莉,刘宪亮,白新理.基于改进蚁群算法的渡槽结构优化设计[J].人民长江,2010,41(6):11-14. |
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| 作者姓名： | 周娟 蒋莉 刘宪亮 白新理 |
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| 作者单位： | 1. 华北水利水电学院,土木交通学院,河南,郑州,450011
2. 黄河水利职业技术学院,河南,开封,475001 |
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| 基金项目： | 华北水利水电学院青年科研基金 |
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| 摘 要： | 渡槽结构优化设计属于混合离散变量优化问题,针对利用一般连续变量方法进行离散变量优化设计的不足,对基本蚁群优化算法进行了改进:引入蚁群更新、沿途搜索等策略,在搜索过程中对设计变量进行工程化处理,蚂蚁按处理后的变量进行离散搜索。开发了基于改进的蚁群优化算法的混合离散变量渡槽优化设计的程序。实例研究表明,该算法对优化设计问题的特性无特殊要求,而且程序运行可靠,全局收敛能力强。
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| 关 键 词： | 改进蚁群算法 混合离散变量 优化设计 渡槽 |
Structural optimization design of aqueduct by improved Ant Colony Algorithm |
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| ZHOU Juan,JIANG Li,LIU Xianliang,BAI Xinli.Structural optimization design of aqueduct by improved Ant Colony Algorithm[J].Yangtze River,2010,41(6):11-14. |
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| Authors: | ZHOU Juan JIANG Li LIU Xianliang BAI Xinli |
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| Affiliation: | ZHOU Juan1,JIANG Li1,LIU Xianliang2,BAI Xinli1(1.School of Civil Engineering , Communication,North China University of Water Resources , Electric Power,Zhengzhou 450011,China,2.Yellow River Conservancy Technical Institute,Kaifeng 475001,China) |
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| Abstract: | Structural optimization design of aqueduct belongs to hybrid discrete variable optimization.In order to avoid deficiency of discrete variable optimization design using continuous variable method,the Basic Ant Colony Algorithm(ACA) is improved by introducing rebirth of ant colony and strategy of searching on the way.In the searching process,design variables are treated for engineering practice,and ants search discretely according to the treated variables.The improved ACA program for structural optimization d... |
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| Keywords: | improved Ant Colony Algorithm hybrid discrete variables optimization design aqueduct |
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